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Exploring the nuances of energy data in Python

Energy companies forecast energy demand for their customers using time series and forecasting models to drive business decisions and insights. One of the keys to forecasting well is exploring your data. Here, Aric LaBarr explores some energy data to discover all the nuances we need for forecasting!

Bibliographic Details
Format: eBook
Language:English
Published: [Place of publication not identified] Manning Publications 2021
Edition:[First edition]
Subjects:
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Apprentissage Automatique
Python (langage De Programmation)
Python (computer Program Language) / Fast / (ocolc)fst01084736
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Energy companies forecast energy demand for their customers using time series and forecasting models to drive business decisions and insights. One of the keys to forecasting well is exploring your data. Here, Aric LaBarr explores some energy data to discover all the nuances we need for forecasting!
Physical Description:1 video file (47 min.) sound, color

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